A Reduction Method of Three-Dimensional Point Cloud

Song, Weiwei; Cai, Shaoli; Yang, Bo; Cui, Weihua; Wang, Yanfang

doi:10.1109/bmei.2009.5305186

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…The point cloud is so large that the computational complexity is very intensive, especially for the Delaunay triangulation process. Usually, the overdense data is not necessary, so some point cloud reduction algorithms can be applied to reduce the computational cost [18]. In this paper, an improved bounding box method is used.…”

Section: Discussionmentioning

confidence: 99%

Automated 3D Scenes Reconstruction Using Multiple Stereo Pairs from Portable Four-Camera Photographic Measurement System

Peng

Zhang

et al. 2015

International Journal of Optics

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An effective automatic 3D reconstruction method using a portable four-camera photographic measurement system (PFCPMS) is proposed. By taking advantage of the complementary stereo information from four cameras, a fast and highly accurate feature point matching algorithm is developed for 3D reconstruction. Specifically, we first utilize a projection method to obtain a large number of dense feature points. And then a reduction and clustering treatment is applied to simplify the Delaunay triangulation process and reconstruct a 3D model for each scene. In addition, a 3D model stitching approach is proposed to further improve the performance of the limited field-of-view for image-based method. The experimental results tested on the 172 cave in Mogao Grottoes indicate that the proposed method is effective to reconstruct a 3D scene with a low-cost four-camera photographic measurement system.

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Section: Discussionmentioning

confidence: 99%

Automated 3D Scenes Reconstruction Using Multiple Stereo Pairs from Portable Four-Camera Photographic Measurement System

Peng

Zhang

et al. 2015

International Journal of Optics

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“…In particular, feature extraction, registration and simplification are the most important visual processing tools recently worked upon in the rapid prototyping community. In (Mérigit et al, 2011;Novatnack and Nishino, 2007;Zhao et al, 2010;Zheng et al, 2009), normal estimation and corner extraction over unorganized point sets are algorithmically defined in order to perform UPS registration (Lin and He, 2011;Myronenko and Song, 2010;Rusu et al, 2008) or simplification (Sareen et al, 2009;Song et al, 2009;Xiao and Huang, 2010) for instance. A lot of works also deal with surface segmentation issues like in (Douillard et al, 2010;Huang & Menq, 2001;Jagannathan & Miller, 2007;Rabbani et al, 2006).…”

Section: Unorganized Point Set Filteringmentioning

confidence: 99%

Point Set Analysis: An Image Analysis Point of View for Rapid Prototyping Technologies

Loménie¹,

Racoceanu²,

Stamon³

2011

Rapid Prototyping Technology - Principles and Functional Requirements

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“…The effectiveness and performance of the proposed approach are validated and illustrated through case studies using synthetic as well as practical data sets. Song [7] presented a convenient way to solve the problem. The scattered point cloud data is first regularized and compressed by the octree structure and then reduced further according to a curvature rule.…”

Section: Introductionmentioning

confidence: 99%

Point cloud data reduction with tangent function method for nurbs curve and surface fitting

Chouychai

2015

2015 7th International Conference on Knowledge and Smart Technology (KST)

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Reverse engineering is an approach for constructing geometric models from a physical part through dimensional measurement and surface modeling. In most applications, the method to reconstructed model from point clouds data which is called NURBS. The accuracy of surface reconstruction depends on number of point clouds data, more point clouds data that make calculations more accurate, but it makes to slowly compute. A tangent function method is a new algorithm for reduction point cloud data had presented in this paper. A tangent function finds turning point and selection point to decrease matrix inversion size in NURBS curve and surface fitting equation while maintaining the accuracy.

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A Reduction Method of Three-Dimensional Point Cloud

Cited by 6 publications

References 4 publications

Automated 3D Scenes Reconstruction Using Multiple Stereo Pairs from Portable Four-Camera Photographic Measurement System

Automated 3D Scenes Reconstruction Using Multiple Stereo Pairs from Portable Four-Camera Photographic Measurement System

Point Set Analysis: An Image Analysis Point of View for Rapid Prototyping Technologies

Point cloud data reduction with tangent function method for nurbs curve and surface fitting

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